Online local learning algorithms for linear discriminant analysis
Abstract
Online local learning algorithms for a laterally-connected single-layer neural network for performing linear discriminant analysis have been proposed. A convergence proof is provided for the algorithm based on Hebbian learning. The algorithms are simulated and applied to the face recognition problem.
- Publication:
-
Pattern Recognition Letters
- Pub Date:
- 2005
- DOI:
- 10.1016/j.patrec.2004.08.005
- Bibcode:
- 2005PaReL..26..421D
- Keywords:
-
- Linear discriminant analysis;
- Generalized eigenvalue problem;
- Online local learning